Post processing Cervix cancer risk Data profiling

Dataset statistics

Number of variables	31
Number of observations	656
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	18
Duplicate rows (%)	2.7%
Total size in memory	159.0 KiB
Average record size in memory	248.2 B

Variable types

Numeric	8
Categorical	23

Warnings

Dataset has 18 (2.7%) duplicate rows	Duplicates
`STDs` is highly correlated with `STDs (number)` and 1 other fields	High correlation
`STDs (number)` is highly correlated with `STDs` and 1 other fields	High correlation
`STDs:condylomatosis` is highly correlated with `STDs:vulvo-perineal condylomatosis`	High correlation
`STDs:vulvo-perineal condylomatosis` is highly correlated with `STDs:condylomatosis`	High correlation
`STDs: Number of diagnosis` is highly correlated with `STDs` and 1 other fields	High correlation
`STDs (number)` is highly correlated with `STDs:vulvo-perineal condylomatosis` and 2 other fields	High correlation
`STDs:vulvo-perineal condylomatosis` is highly correlated with `STDs (number)` and 1 other fields	High correlation
`STDs` is highly correlated with `STDs (number)` and 1 other fields	High correlation
`STDs:condylomatosis` is highly correlated with `STDs (number)` and 1 other fields	High correlation
`STDs: Number of diagnosis` is highly correlated with `STDs`	High correlation

Reproduction

Analysis started	2021-03-10 21:48:51.995423
Analysis finished	2021-03-10 21:48:59.299680
Duration	7.3 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Age
Real number (ℝ)

Distinct	42
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-1.299773297 × 10¹⁶
Minimum	-1.531372742
Maximum	6.135380072
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-1.531372742
5-th percentile	-1.295472655
Q1	-0.8236724823
median	-0.1159722225
Q3	0.7096780806
95-th percentile	1.653278427
Maximum	6.135380072
Range	7.666752814
Interquartile range (IQR)	1.533350563

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	-7.699520138 × 10¹⁵
Kurtosis	3.519930022
Mean	-1.299773297 × 10¹⁶
Median Absolute Deviation (MAD)	0.7077002598
Skewness	1.2408354
Sum	-8.526512829 × 10¹⁴
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
-1.059572569	41	6.2%
-0.705722439	37	5.6%
-0.8236724823	34	5.2%
-0.4698223524	34	5.2%
-0.9416225256	33	5.0%
-0.3518723091	31	4.7%
0.1199278641	30	4.6%
-0.2339222658	30	4.6%
-0.1159722225	28	4.3%
0.001977820848	26	4.0%
Other values (32)	332	50.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1.531372742	4	0.6%
-1.413422699	15	2.3%
-1.295472655	17	2.6%
-1.177522612	26	4.0%
-1.059572569	41	6.2%

Value	Count	Frequency (%)
6.135380072	1	0.2%
5.073829683	2	0.3%
3.776379206	1	0.2%
2.950728903	2	0.3%
2.83277886	1	0.2%

Number of sexual partners
Real number (ℝ)

Distinct	12
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-2.707861036 × 10¹⁸
Minimum	-0.8793010688
Maximum	14.69487946
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-0.8793010688
5-th percentile	-0.8793010688
Q1	-0.3024795677
median	-0.3024795677
Q3	0.2743419335
95-th percentile	1.427984936
Maximum	14.69487946
Range	15.57418053
Interquartile range (IQR)	0.5768215011

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	-3.695769666 × 10¹⁷
Kurtosis	74.96758173
Mean	-2.707861036 × 10¹⁸
Median Absolute Deviation (MAD)	0.5768215011
Skewness	6.011230304
Sum	-1.776356839 × 10¹⁵
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
-0.3024795677	218	33.2%
0.2743419335	168	25.6%
-0.8793010688	161	24.5%
0.8511634346	57	8.7%
1.427984936	34	5.2%
2.004806437	7	1.1%
3.158449439	4	0.6%
2.581627938	3	0.5%
3.73527094	1	0.2%
4.312092442	1	0.2%
Other values (2)	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.8793010688	161	24.5%
-0.3024795677	218	33.2%
0.2743419335	168	25.6%
0.8511634346	57	8.7%
1.427984936	34	5.2%

Value	Count	Frequency (%)
14.69487946	1	0.2%
7.196199947	1	0.2%
4.312092442	1	0.2%
3.73527094	1	0.2%
3.158449439	4	0.6%

First sexual intercourse
Real number (ℝ)

Distinct	21
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.057974387 × 10¹⁶
Minimum	-2.481938517
Maximum	5.31334694
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-2.481938517
5-th percentile	-1.064613888
Q1	-0.7102827311
median	-0.001620416877
Q3	0.3527107402
95-th percentile	1.770035369
Maximum	5.31334694
Range	7.795285456
Interquartile range (IQR)	1.062993471

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	4.862854824 × 10¹⁵
Kurtosis	4.601621467
Mean	2.057974387 × 10¹⁶
Median Absolute Deviation (MAD)	0.7086623142
Skewness	1.677187924
Sum	1.350031198 × 10¹³
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
-0.7102827311	134	20.4%
-0.001620416877	113	17.2%
0.3527107402	113	17.2%
-0.355951574	90	13.7%
-1.064613888	59	9.0%
0.7070418973	45	6.9%
1.061373054	27	4.1%
-1.418945045	20	3.0%
1.415704212	12	1.8%
3.187359997	7	1.1%
Other values (11)	36	5.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-2.481938517	1	0.2%
-2.12760736	2	0.3%
-1.773276202	2	0.3%
-1.418945045	20	3.0%
-1.064613888	59	9.0%

Value	Count	Frequency (%)
5.31334694	1	0.2%
4.250353468	4	0.6%
3.896022311	2	0.3%
3.541691154	5	0.8%
3.187359997	7	1.1%

Num of pregnancies
Real number (ℝ)

Distinct	10
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-5.889597753 × 10¹⁷
Minimum	-1.534870685
Maximum	5.452465673
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-1.534870685
5-th percentile	-0.836137049
Q1	-0.836137049
median	-0.1374034131
Q3	0.5613302227
95-th percentile	1.958797494
Maximum	5.452465673
Range	6.987336358
Interquartile range (IQR)	1.397467272

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	-1.699204444 × 10¹⁶
Kurtosis	2.329712704
Mean	-5.889597753 × 10¹⁷
Median Absolute Deviation (MAD)	0.6987336358
Skewness	1.374655096
Sum	-3.863576126 × 10¹⁴
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
-0.836137049	253	38.6%
-0.1374034131	181	27.6%
0.5613302227	104	15.9%
1.260063859	56	8.5%
1.958797494	28	4.3%
2.65753113	16	2.4%
-1.534870685	11	1.7%
3.356264766	4	0.6%
4.054998402	2	0.3%
5.452465673	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1.534870685	11	1.7%
-0.836137049	253	38.6%
-0.1374034131	181	27.6%
0.5613302227	104	15.9%
1.260063859	56	8.5%

Value	Count	Frequency (%)
5.452465673	1	0.2%
4.054998402	2	0.3%
3.356264766	4	0.6%
2.65753113	16	2.4%
1.958797494	28	4.3%

Smokes
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	558
1.0	98

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	558	85.1%
1.0	98	14.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	558	85.1%
1.0	98	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	1214	61.7%
.	656	33.3%
1	98	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1214	92.5%
1	98	7.5%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1214	61.7%
.	656	33.3%
1	98	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1214	61.7%
.	656	33.3%
1	98	5.0%

Smokes (years)
Real number (ℝ)

Distinct	27
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-4.332577657 × 10¹⁷
Minimum	-0.3073177302
Maximum	8.52680928
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-0.3073177302
5-th percentile	-0.3073177302
Q1	-0.3073177302
median	-0.3073177302
Q3	-0.3073177302
95-th percentile	2.080284164
Maximum	8.52680928
Range	8.83412701
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	-2.309856041 × 10¹⁶
Kurtosis	23.06458713
Mean	-4.332577657 × 10¹⁷
Median Absolute Deviation (MAD)	0
Skewness	4.357923627
Sum	-2.842170943 × 10¹⁴
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
-0.3073177302	558	85.1%
-0.00481503838	12	1.8%
1.841523975	8	1.2%
-0.06855754071	7	1.1%
0.1702026487	6	0.9%
1.602763785	6	0.9%
0.4089628382	5	0.8%
0.6477230276	5	0.8%
1.364003596	5	0.8%
2.080284164	5	0.8%
Other values (17)	39	5.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.3073177302	558	85.1%
-0.2691160999	1	0.2%
-0.06855754071	7	1.1%
-0.00481503838	12	1.8%
0.1702026487	6	0.9%

Value	Count	Frequency (%)
8.52680928	1	0.2%
7.810528711	1	0.2%
7.333008332	1	0.2%
4.945406438	2	0.3%
4.706646248	1	0.2%

Smokes (packs/year)
Real number (ℝ)

Distinct	55
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-5.415722071 × 10¹⁸
Minimum	-0.2082177959
Maximum	14.96874527
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-0.2082177959
5-th percentile	-0.2082177959
Q1	-0.2082177959
median	-0.2082177959
Q3	-0.2082177959
95-th percentile	0.9403091387
Maximum	14.96874527
Range	15.17696306
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	-1.847884833 × 10¹⁷
Kurtosis	100.8218477
Mean	-5.415722071 × 10¹⁸
Median Absolute Deviation (MAD)	0
Skewness	8.830350882
Sum	-3.552713679 × 10¹⁵
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.2082177959	558	85.1%
0.002291656462	13	2.0%
0.201970395	5	0.8%
0.612158586	4	0.6%
-0.1261801577	4	0.6%
1.022346777	4	0.6%
-0.1877083863	3	0.5%
1.842723159	3	0.5%
3.483475922	2	0.3%
0.09942334732	2	0.3%
Other values (45)	58	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.2082177959	558	85.1%
-0.2078076077	1	0.2%
-0.2069872313	1	0.2%
-0.1918102682	2	0.3%
-0.1877083863	3	0.5%

Value	Count	Frequency (%)
14.96874527	1	0.2%
8.815922405	1	0.2%
8.405734214	1	0.2%
7.585357832	1	0.2%
5.944605068	1	0.2%

Hormonal Contraceptives
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

1.0	451
0.0	205

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
1.0	451	68.8%
0.0	205	31.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
1.0	451	68.8%
0.0	205	31.2%

Most occurring characters

Value	Count	Frequency (%)
0	861	43.8%
.	656	33.3%
1	451	22.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	861	65.6%
1	451	34.4%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	861	43.8%
.	656	33.3%
1	451	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	861	43.8%
.	656	33.3%
1	451	22.9%

Hormonal Contraceptives (years)
Real number (ℝ)

Distinct	38
Distinct (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.415722071 × 10¹⁷
Minimum	-0.556973042
Maximum	5.801523798
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-0.556973042
5-th percentile	-0.556973042
Q1	-0.556973042
median	-0.4847173961
Q3	0.02107212527
95-th percentile	2.044230211
Maximum	5.801523798
Range	6.35849684
Interquartile range (IQR)	0.5780451673

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	1.847884833 × 10¹⁶
Kurtosis	7.398807865
Mean	5.415722071 × 10¹⁷
Median Absolute Deviation (MAD)	0.07225564591
Skewness	2.54101775
Sum	3.552713679 × 10¹⁴
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
-0.556973042	286	43.6%
-0.2679504584	60	9.1%
-0.4847173961	34	5.2%
0.02107212527	30	4.6%
0.3100947089	27	4.1%
0.8881398762	27	4.1%
-0.4124617502	21	3.2%
1.17716246	20	3.0%
-0.5338512353	17	2.6%
1.466185043	15	2.3%
Other values (28)	119	18.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.556973042	286	43.6%
-0.5338512353	17	2.6%
-0.5107294286	13	2.0%
-0.5078392028	1	0.2%
-0.4847173961	34	5.2%

Value	Count	Frequency (%)
5.801523798	1	0.2%
5.223478631	3	0.5%
4.35641088	1	0.2%
4.067388296	2	0.3%
3.778365713	5	0.8%

IUD
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	595
1.0	61

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	595	90.7%
1.0	61	9.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	595	90.7%
1.0	61	9.3%

Most occurring characters

Value	Count	Frequency (%)
0	1251	63.6%
.	656	33.3%
1	61	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1251	95.4%
1	61	4.6%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1251	63.6%
.	656	33.3%
1	61	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1251	63.6%
.	656	33.3%
1	61	3.1%

IUD (years)
Real number (ℝ)

Distinct	24
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-1.895502725 × 10¹⁷
Minimum	-0.2364019406
Maximum	9.766700273
Zeros	0
Zeros (%)	0.0%
Memory size	5.2 KiB

Quantile statistics

Minimum	-0.2364019406
5-th percentile	-0.2364019406
Q1	-0.2364019406
median	-0.2364019406
Q3	-0.2364019406
95-th percentile	1.343035251
Maximum	9.766700273
Range	10.00310221
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.000763068
Coefficient of variation (CV)	-5.279670952 × 10¹⁶
Kurtosis	36.59920905
Mean	-1.895502725 × 10¹⁷
Median Absolute Deviation (MAD)	0
Skewness	5.588541463
Sum	-1.243449788 × 10¹⁴
Variance	1.001526718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
-0.2364019406	595	90.7%
1.343035251	9	1.4%
0.8165561871	6	0.9%
0.2900771233	6	0.9%
2.395993379	6	0.9%
3.448951507	5	0.8%
3.975430571	4	0.6%
1.869514315	4	0.6%
5.554867762	3	0.5%
2.922472443	3	0.5%
Other values (14)	15	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.2364019406	595	90.7%
-0.1942836155	1	0.2%
-0.1521652904	1	0.2%
-0.1469004998	1	0.2%
-0.1047821747	1	0.2%

Value	Count	Frequency (%)
9.766700273	1	0.2%
8.713742146	1	0.2%
7.660784018	1	0.2%
6.081346826	1	0.2%
5.554867762	3	0.5%

STDs
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	597
1.0	59

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	597	91.0%
1.0	59	9.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	597	91.0%
1.0	59	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	1253	63.7%
.	656	33.3%
1	59	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1253	95.5%
1	59	4.5%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1253	63.7%
.	656	33.3%
1	59	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1253	63.7%
.	656	33.3%
1	59	3.0%

STDs (number)
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

-0.2875127911096561	597
1.6771579481396606	28
3.6418286873889776	26
5.606499426638294	4
7.571170165887611	1

Length

Max length	19
Median length	19
Mean length	18.90243902
Min length	17

Characters and Unicode

Total characters	12400
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	-0.2875127911096561
2nd row	1.6771579481396606
3rd row	-0.2875127911096561
4th row	-0.2875127911096561
5th row	-0.2875127911096561

Value	Count	Frequency (%)
-0.2875127911096561	597	91.0%
1.6771579481396606	28	4.3%
3.6418286873889776	26	4.0%
5.606499426638294	4	0.6%
7.571170165887611	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.2875127911096561	597	91.0%
1.6771579481396606	28	4.3%
3.6418286873889776	26	4.0%
5.606499426638294	4	0.6%
7.571170165887611	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
1	2503	20.2%
6	1402	11.3%
7	1360	11.0%
9	1288	10.4%
2	1228	9.9%
5	1228	9.9%
0	1227	9.9%
8	761	6.1%
.	656	5.3%
-	597	4.8%
Other values (2)	150	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	11147	89.9%
Other Punctuation	656	5.3%
Dash Punctuation	597	4.8%

Most frequent character per category

Value	Count	Frequency (%)
1	2503	22.5%
6	1402	12.6%
7	1360	12.2%
9	1288	11.6%
2	1228	11.0%
5	1228	11.0%
0	1227	11.0%
8	761	6.8%
3	84	0.8%
4	66	0.6%

Value	Count	Frequency (%)
-	597	100.0%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12400	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	2503	20.2%
6	1402	11.3%
7	1360	11.0%
9	1288	10.4%
2	1228	9.9%
5	1228	9.9%
0	1227	9.9%
8	761	6.1%
.	656	5.3%
-	597	4.8%
Other values (2)	150	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12400	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	2503	20.2%
6	1402	11.3%
7	1360	11.0%
9	1288	10.4%
2	1228	9.9%
5	1228	9.9%
0	1227	9.9%
8	761	6.1%
.	656	5.3%
-	597	4.8%
Other values (2)	150	1.2%

STDs:condylomatosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	626
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	626	95.4%
1.0	30	4.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	626	95.4%
1.0	30	4.6%

Most occurring characters

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1282	97.7%
1	30	2.3%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

STDs:vaginal condylomatosis
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	654
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	654	99.7%
1.0	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	654	99.7%
1.0	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1310	66.6%
.	656	33.3%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1310	99.8%
1	2	0.2%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1310	66.6%
.	656	33.3%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1310	66.6%
.	656	33.3%
1	2	0.1%

STDs:vulvo-perineal condylomatosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	626
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	626	95.4%
1.0	30	4.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	626	95.4%
1.0	30	4.6%

Most occurring characters

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1282	97.7%
1	30	2.3%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

STDs:syphilis
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	643
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	643	98.0%
1.0	13	2.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	643	98.0%
1.0	13	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	1299	66.0%
.	656	33.3%
1	13	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1299	99.0%
1	13	1.0%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1299	66.0%
.	656	33.3%
1	13	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1299	66.0%
.	656	33.3%
1	13	0.7%

STDs:pelvic inflammatory disease
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	655
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1311	99.9%
1	1	0.1%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

STDs:genital herpes
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	655
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1311	99.9%
1	1	0.1%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

STDs:molluscum contagiosum
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	655
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1311	99.9%
1	1	0.1%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

STDs:HIV
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	641
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	641	97.7%
1.0	15	2.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	641	97.7%
1.0	15	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	1297	65.9%
.	656	33.3%
1	15	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1297	98.9%
1	15	1.1%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1297	65.9%
.	656	33.3%
1	15	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1297	65.9%
.	656	33.3%
1	15	0.8%

STDs:Hepatitis B
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	655
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	655	99.8%
1.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1311	99.9%
1	1	0.1%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1311	66.6%
.	656	33.3%
1	1	0.1%

STDs:HPV
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	654
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	654	99.7%
1.0	2	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	654	99.7%
1.0	2	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1310	66.6%
.	656	33.3%
1	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1310	99.8%
1	2	0.2%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1310	66.6%
.	656	33.3%
1	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1310	66.6%
.	656	33.3%
1	2	0.1%

STDs: Number of diagnosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	602
1.0	51
2.0	2
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	602	91.8%
1.0	51	7.8%
2.0	2	0.3%
3.0	1	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	602	91.8%
1.0	51	7.8%
2.0	2	0.3%
3.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1258	63.9%
.	656	33.3%
1	51	2.6%
2	2	0.1%
3	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1258	95.9%
1	51	3.9%
2	2	0.2%
3	1	0.1%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1258	63.9%
.	656	33.3%
1	51	2.6%
2	2	0.1%
3	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1258	63.9%
.	656	33.3%
1	51	2.6%
2	2	0.1%
3	1	0.1%

Dx:Cancer
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	639
1.0	17

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	639	97.4%
1.0	17	2.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	639	97.4%
1.0	17	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	1295	65.8%
.	656	33.3%
1	17	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1295	98.7%
1	17	1.3%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1295	65.8%
.	656	33.3%
1	17	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1295	65.8%
.	656	33.3%
1	17	0.9%

Dx:CIN
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	649
1.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	649	98.9%
1.0	7	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	649	98.9%
1.0	7	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	1305	66.3%
.	656	33.3%
1	7	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1305	99.5%
1	7	0.5%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1305	66.3%
.	656	33.3%
1	7	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1305	66.3%
.	656	33.3%
1	7	0.4%

Dx:HPV
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	639
1.0	17

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	639	97.4%
1.0	17	2.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	639	97.4%
1.0	17	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	1295	65.8%
.	656	33.3%
1	17	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1295	98.7%
1	17	1.3%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1295	65.8%
.	656	33.3%
1	17	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1295	65.8%
.	656	33.3%
1	17	0.9%

Dx
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	635
1.0	21

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	635	96.8%
1.0	21	3.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	635	96.8%
1.0	21	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	1291	65.6%
.	656	33.3%
1	21	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1291	98.4%
1	21	1.6%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1291	65.6%
.	656	33.3%
1	21	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1291	65.6%
.	656	33.3%
1	21	1.1%

Hinselmann
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	626
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	626	95.4%
1.0	30	4.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	626	95.4%
1.0	30	4.6%

Most occurring characters

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1282	97.7%
1	30	2.3%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1282	65.1%
.	656	33.3%
1	30	1.5%

Schiller
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	599
1.0	57

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	599	91.3%
1.0	57	8.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	599	91.3%
1.0	57	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	1255	63.8%
.	656	33.3%
1	57	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1255	95.7%
1	57	4.3%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1255	63.8%
.	656	33.3%
1	57	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1255	63.8%
.	656	33.3%
1	57	2.9%

Citology
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.2 KiB

0.0	624
1.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1968
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	624	95.1%
1.0	32	4.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	624	95.1%
1.0	32	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	1280	65.0%
.	656	33.3%
1	32	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1312	66.7%
Other Punctuation	656	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1280	97.6%
1	32	2.4%

Value	Count	Frequency (%)
.	656	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1968	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1280	65.0%
.	656	33.3%
1	32	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1968	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1280	65.0%
.	656	33.3%
1	32	1.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD (years)	STDs	STDs (number)	STDs:syphilis	STDs: Number of diagnosis	Hinselmann	Schiller	Citology
0	-1.531373	-0.302480	-1.064614	-0.836137	0.0	-0.307318	-0.208218	0.0	-0.556973	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
1	0.237878	1.427985	-0.001620	2.657531	1.0	-0.004815	0.325027	1.0	-0.412462	-0.236402	1.0	1.677158	1.0	1.0	0.0	0.0	0.0
2	-0.941623	-0.302480	-0.710283	-0.137403	0.0	-0.307318	-0.208218	1.0	-0.412462	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
3	-0.823672	-0.302480	-0.710283	-0.836137	0.0	-0.307318	-0.208218	0.0	-0.556973	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
4	2.007129	0.274342	0.707042	-0.836137	0.0	-0.307318	-0.208218	0.0	-0.556973	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
5	0.945578	0.274342	0.352711	1.260064	1.0	3.990366	3.483476	0.0	-0.556973	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
6	0.709678	0.274342	0.352711	-0.137403	0.0	-0.307318	-0.208218	0.0	-0.556973	-0.236402	0.0	-0.287513	0.0	0.0	1.0	1.0	1.0
7	-0.941623	0.851163	-1.064614	-0.836137	0.0	-0.307318	-0.208218	1.0	-0.556973	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
8	-0.233922	-0.302480	-0.355952	-0.137403	1.0	1.602764	-0.142588	1.0	0.310095	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
9	-0.705722	-0.879301	-0.001620	-0.137403	0.0	-0.307318	-0.208218	1.0	0.310095	-0.236402	0.0	-0.287513	0.0	0.0	1.0	1.0	0.0

Last rows

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	STDs	STDs (number)	STDs:syphilis	STDs:HIV	STDs: Number of diagnosis	Hinselmann	Schiller
646	-0.823672	0.851163	-0.001620	-0.836137	0.0	-0.307318	-0.208218	1.0	-0.510729	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
647	-0.233922	0.274342	0.352711	0.561330	0.0	-0.307318	-0.208218	0.0	-0.556973	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
648	-0.823672	0.274342	0.352711	-0.836137	0.0	-0.307318	-0.208218	1.0	-0.556973	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
649	-1.177523	-0.879301	-1.064614	-0.836137	0.0	-0.307318	-0.208218	1.0	0.021072	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
650	-0.823672	0.274342	-1.064614	0.561330	1.0	0.647723	-0.126180	0.0	-0.556973	0.0	-0.236402	1.0	1.677158	1.0	0.0	1.0	0.0	0.0
651	2.007129	0.274342	-0.710283	-0.836137	1.0	-0.004815	0.940309	0.0	-0.556973	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
652	-0.941623	-0.879301	0.707042	-0.836137	0.0	-0.307318	-0.208218	0.0	-0.556973	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
653	0.355828	0.274342	-0.710283	-1.534871	1.0	3.512845	3.073288	0.0	-0.556973	0.0	-0.236402	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
654	-0.587772	-0.879301	-0.001620	-0.137403	0.0	-0.307318	-0.208218	1.0	-0.510729	1.0	1.343035	0.0	-0.287513	0.0	0.0	0.0	0.0	0.0
655	0.355828	-0.302480	-1.418945	0.561330	1.0	4.945406	1.145403	0.0	-0.556973	0.0	-0.236402	1.0	1.677158	0.0	1.0	1.0	1.0	1.0

Most frequent

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD (years)	STDs (number)	count
0	-1.413423	-0.879301	-1.064614	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	4
2	-1.295473	-0.879301	-0.710283	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	3
1	-1.413423	-0.302480	-1.064614	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	2
3	-1.295473	-0.879301	-0.355952	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	2
4	-1.177523	-0.879301	-0.001620	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	2
5	-1.177523	-0.302480	-0.710283	-0.836137	-0.307318	-0.208218	1.0	-0.461596	-0.236402	-0.287513	2
6	-1.059573	-0.879301	-1.064614	-0.137403	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	2
7	-1.059573	-0.879301	-0.001620	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	2
8	-1.059573	-0.879301	0.352711	-0.836137	-0.307318	-0.208218	0.0	-0.556973	-0.236402	-0.287513	2
9	-0.941623	0.851163	-1.064614	-0.836137	-0.307318	-0.208218	1.0	-0.556973	-0.236402	-0.287513	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters